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AI services for sales and customer service in B2B

We support companies every step of the way – from the initial potential analysis through process design and technical implementation to the operation and further development of AI solutions. This results in applications that integrate seamlessly and deliver real-world benefits in everyday use.

Front end of an AI chatbot for sales and customer service

AI potential analysis

The first step in an AI project is a structured analysis of potential areas of application.

Together we identify processes in sales, service and after-sales where AI can deliver tangible benefits.

In doing so, we consider among other things:

  • Existing business processes
  • Existing data sources
  • Current system landscapes
  • Organizational processes
  • Economic potential

Result:

A realistic assessment of the benefits, costs and priorities of potential AI applications.

ECOPLAN develops concepts for AI-powered processes

AI process design

Based on this analysis, we develop concrete concepts for AI-powered processes.

In doing so, we define, among other things:

  • Target processes and automation logic
  • Data sources and information structures
  • Roles of AI and employees
  • Integration points with existing systems

Our focus is on using AI in a way that effectively complements existing processes rather than unnecessarily complicating them.

Result:
A clearly structured plan for implementation.

Planning and selecting the
AI infrastructure

The successful implementation of AI requires a suitable technical foundation. We help companies plan and select an appropriate AI architecture.

To this end, we will examine among other things:

  • Suitable AI models and platforms
  • Cloud or on-premises operation
  • Data protection and security requirements
  • Integration into existing system landscapes
  • Data sources and knowledge structures

Our goal is to define an architecture that is cost-effective, secure and sustainable in the long term.

Result:
A clearly defined AI architecture as the foundation for stable and scalable applications.

ECOPLAN helps companies plan and select a suitable AI architecture.

Implementation and integration

Employees can use AI effectively and integrate it into their daily workflows.

These include, for example:
  • Integration with ERP and CRM systems
  • Integration with document and knowledge databases
  • Integration into service and sales processes
  • Development of AI assistants and automations
Result

A functional AI solution that can be used in day-to-day operations.

Implementation and Enablement

The successful implementation of AI depends heavily on its acceptance within the organization. We help teams make effective use of new AI tools and integrate them into existing workflows.

These include, for example:
  • Training for sales and service
  • Workshops on using AI in everyday work
  • Best practices for practical application
Result

Employees can use AI effectively and integrate it into their daily workflows.

ECOPLAN helps companies implement ready-made AI solutions

Implementation of ready-to-use AI concepts

Not every AI project starts from scratch. We also help companies quickly implement AI concepts that have already been defined or pre-structured – for example, based on existing use cases, internal ideas or proven best practices.

We handle the technical implementation, integration into existing systems and adaptation to your specific processes, data and requirements in the B2B sector.

Benefits:
Quick implementation of your requirements.

Operation and further development

AI solutions are constantly evolving. Once implemented, we support companies in operating, optimizing and expanding these applications.

These include among other things:

  • Further development of existing AI processes
  • Integration of new data sources
  • Expansion to additional application areas
  • Continuous optimization of results

Result:
AI is gradually becoming an integral part of business processes.

ECOPLAN helps companies further develop their existing AI processes

Managed AI / ongoing support

Many companies want to do more than just implement AI once; they want to continue developing it over the long term.

To that end, we offer ongoing collaboration, supporting companies as they further develop their AI applications.

Typical topics include:

  • Ongoing optimization of AI processes
  • Development of new use cases
  • Support with data structuring
  • Strategic development

Result:

The systematic and consistent use of AI within the company.

Structure of the collaboration

Typical workflow of an AI project

01.
Process design
02.
Infrastructure planning
03.
Implementation
04.
Introduction
05.
Operation and further development
ECOPLAN

Free initial consultation

During the free initial consultation, you’ll describe your project, goals and expectations to us. We’ll provide an initial professional assessment and present you with concrete approaches for implementation.

30 minutes – details about the web conference will be provided upon confirmation

ECOPLAN employees discussing AI-driven process automation in the B2B sector

About ECOPLAN

ECOPLAN is a consulting and implementation partner for AI-driven process automation in the B2B sector.

The company helps industrial and commercial enterprises integrate AI into their sales, service and after-sales processes in a targeted manner. Its services include the structured introduction of AI following a clear process model – from potential analysis, process design, and infrastructure planning through to implementation, integration, rollout and continuous development.

A particular focus is on integrating AI solutions into existing ERP, CRM and system landscapes, as well as on their economically viable use in day-to-day operations.

The goal is to create applications that do not function in isolation, but rather sustainably improve processes and deliver measurable benefits.

Typical AI services offered by ECOPLAN

Typical services include:

Analysis and assessment of AI potential in sales and service
Conceptualization and design of AI-powered processes
Planning and selecting suitable AI infrastructures
Implementation and integration into existing system environments
Onboarding, training and empowerment of employees
Operation, optimization and continuous improvement
Managed AI and the strategic expansion of AI applications

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